Job Description

Become a Part of the NIKE, Inc. Team

NIKE, Inc. does more than outfit the world’s best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At NIKE, Inc. it’s about each person bringing skills and passion to a challenging and constantly evolving game.

Lead Data Engineer - Nike Inc. - Beaverton, OR . Develop architecture and designs patterns to process and store high volume data sets; provide technical leadership towards architecting and delivering end to end solutions; Collaborate with Product managers and partners for prioritization, impact assessment and resolution; Design, code and test plan reviews developed by other data engineers in support of maintaining data engineering standards; Partner with other teams for cross functional initiatives; Craft and build reusable components, frameworks and libraries at scale to support analytics products; Design and implement product features in collaboration with business and technology partners;; Identify issues concerning data management to improve data quality; Collaborate on the implementation of new data management projects and the re-structure of the current data architecture; Implement automated workflows and routines using workflow scheduling tools; Build continuous integration, test-driven development and production deployment frameworks; Troubleshoot data issues and perform root cause analysis to proactively resolve product and operational issues; and Deliver high-quality software releases. Telecommuting is available from anywhere in the U.S., except from AK, AL, AR, DE, HI, IA, ID, IN, KS, KY, LA, MT, ND, NE, NH, NM, NV, OH, OK, RI, SD, VT, WV, and WY.

Must have a Master’s degree in Computer Science, Engineering, or System Sciences, and 2 years of experience in the job offered or in a Engineer-related occupation . Experience must include:

• Data structures & Algorithms

• Data Modeling, Data Warehousing, Snowflake

• Python, Java, SQL

• Spark, Databricks

• CI/CD, Jenkins, Terraform

• Docker

• ETL pipelines, Airflow, AutoSys

• AWS services: EMR, S3, Athena, EC2

• Data Visualization, Tableau

• Agile/Scrum practices

• Hadoop, Hive, Pig, Oozie

Apply at (Job# R-59047) 

#LI-DNI

We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form .

NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world.

NIKE, Inc. is an equal opportunity employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.

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